For RevOps and GTM engineers deploying AI agents, Vasco is a context layer that unifies CRM, call, billing, and product data into a connected graph so agents answer revenue questions accurately instead of guessing from raw records.
Presence & Market Position
#84 of 121
GTM Developer Tools
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Vasco is positioning itself as the connective layer other agents query for revenue truth, unifying CRM, call, billing and product data into one graph rather than shipping a single-purpose application. The strategic bet is being the context an agent reaches for, not the agent itself. Conversation about Vasco reads as early category-watching, with analysts grouping it alongside other startups building out the same context-layer bet, practitioners weighing it against building a warehouse in-house, and consultants referencing it as the backbone for named revenue-architecture engagements. Partner and ecosystem mentions surface it alongside other GTM tooling vendors. It holds a modest but present foothold in that conversation rather than a dominant one.
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Business Profile
Vasco was founded in 2022, in Montreal, by CEO Guillaume Jacquet and CTO Sebastien Rothlisberger. The company closed a seed round led by Inovia Capital, with participation from BY Venture Partners and Framework Venture Partners as well as angel investors. It has built out a graph connecting 750+ integrations across CRM, ERP, billing, call recordings, support and product analytics, and frames itself as the connective layer for revenue operations rather than a reporting tool. Recent public material emphasizes agent deployment on top of that graph as the next stage of the product.
Agent Readiness
Not yet graded.
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Vasco's agent-facing surface today is a single MCP endpoint that gives connected agents deterministic query access to the revenue graph, with shared definitions and identity resolution behind it rather than a raw database connection. Public material also describes out-of-the-box agents built on that layer, with room to bring other tools through the same MCP connection. No published API, SDK, or CLI is on file yet.
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